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A Multi-Priority Control of Asymmetric Coordination for Redundant Dual-Arm Robot

机译:冗余双臂机器人非对称协调的多优先级控制

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摘要

The paper develops a multi-priority control method of asymmetric coordination for a redundant dual-arm robot. A novel dual-arm coordination impedance is introduced to the multi-priority control, and then the performance of the object tracking and the redundant joints is improved by the regulation of the relative Cartesian errors between two arms. The control of asymmetric coordination is divided into the main task and the secondary task. The control of the main task can regulate the two end-effectors' errors and the relative errors by building the model of spatial parallel spring and damping (SPSDM), which establishes the dual-arm coordination impedance relation in Cartesian space. The control of the secondary task optimizes the performance of the redundant joint impedance and joint limit avoidance in null space. Finally, a typical asymmetric coordination experiment of peg-in-hole is carried out to verify the validity and feasibility of the proposed method. The results indicate that the proposed dual-arm coordination impedance can regulate the relative tracking errors between two objects directly, and in the context of the external impact force applied to the two end-effectors, the peg-in-hole dual-arm task can be achieved successfully.
机译:针对冗余双臂机器人,提出了一种非对称协调的多优先级控制方法。将一种新型的双臂协调阻抗引入到多优先级控制中,然后通过调节两臂之间的相对笛卡尔误差来提高目标跟踪和冗余关节的性能。不对称协调的控制分为主要任务和次要任务。通过建立空间平行弹簧和阻尼(SPSDM)模型,可以建立笛卡尔空间中的双臂协调阻抗关系,从而通过控制主任务来调节两个末端执行器的误差和相对误差。次要任务的控制可优化零空间中冗余关节阻抗和避免关节极限的性能。最后,进行了典型的孔洞非对称协调实验,验证了该方法的有效性和可行性。结果表明,所提出的双臂协调阻抗可以直接调节两个物体之间的相对跟踪误差,并且在施加于两个末端执行器的外部冲击力的背景下,钉入孔的双臂任务可以成功实现。

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